In Detail

Computer vision is an up and coming field within the field of Computer Science that combines image processing with machine learning. Emgu CV is a cross-platform library that can be used to practically explore really interesting features from image capturing to character recognition.

Emgu CV Essentials is a practical guide to the Emgu CV library, a .Net wrapper for the OpenCV image processing library. The main features and code samples are explained in order to give a better understanding of Emgu CV, with a wide variety of topics covered, from working with images and shape detection to creating a panorama from a series of images.

Learn the basics of Emgu CV, from creating your first project to covering the main areas of the computer vision field, with Emgu CV Essentials. Each chapter presents a separate project to the reader, and provides the background knowledge necessary to understand how the examples work. Learn how to start with EmguCV and try practical computer vision projects, or go straight to the topics you are most interested in, such as image processing, shape detection, face detection, optical character recognition, and more.

Emgu CV Essentials gives you the chance to explore the main areas of computer vision with helpful projects.

Authors

Shin Shi

Shin Shi is a member of the Digital Art Lab at Shanghai Jiao Tong University. When he built his first robot at the age of fourteen in 2005, he became interested in the field of computer vision. Over the last two years, he created a real-time face recognition attendance system using Emgu CV at Huazhong University of Science and Technology. He obtained a B.E. in Software Engineering from HUST and is currently an M.S. candidate in DA Lab from SJTU. Now he is focusing on the field of computer graphics, such as creating physics-based simulations and the use of animation.

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